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KDD
1998
ACM
170views Data Mining» more  KDD 1998»
15 years 8 months ago
Mining Audit Data to Build Intrusion Detection Models
In this paper we discuss a data mining framework for constructing intrusion detection models. The key ideas are to mine system audit data for consistent and useful patterns of pro...
Wenke Lee, Salvatore J. Stolfo, Kui W. Mok
EUROSEC
2010
ACM
15 years 9 months ago
Managing intrusion detection rule sets
The prevalent use of the signature-based approach in modern intrusion detection systems (IDS) emphasizes the importance of the efficient management of the employed signature sets....
Natalia Stakhanova, Ali A. Ghorbani
JCP
2006
173views more  JCP 2006»
15 years 4 months ago
Database Intrusion Detection using Weighted Sequence Mining
Data mining is widely used to identify interesting, potentially useful and understandable patterns from a large data repository. With many organizations focusing on webbased on-lin...
Abhinav Srivastava, Shamik Sural, Arun K. Majumdar
DIAU
2000
Springer
15 years 8 months ago
On Pseudonymization of Audit Data for Intrusion Detection
In multilaterally secure intrusion detection systems (IDS) anonymity and accountability are potentially conflicting requirements. Since IDS rely on audit data to detect violations...
Joachim Biskup, Ulrich Flegel
IWIA
2006
IEEE
15 years 10 months ago
An Application of Information Theory to Intrusion Detection
Zero-day attacks, new (anomalous) attacks exploiting previously unknown system vulnerabilities, are a serious threat. Defending against them is no easy task, however. Having ident...
E. Earl Eiland, Lorie M. Liebrock